{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# AWS S3 support\n",
    " * Streams in data that is needed \n",
    " * Useful is you spin down/up a AWS machine"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:11:06.689116Z",
     "start_time": "2019-07-10T20:11:06.662940Z"
    }
   },
   "outputs": [],
   "source": [
    "import vaex\n",
    "import numpy as np\n",
    "df = vaex.open('s3://vaex/taxi/yellow_taxi_2015_f32s.hdf5?anon=true')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:11:06.870051Z",
     "start_time": "2019-07-10T20:11:06.850135Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>#                                      </th><th>vendor_id  </th><th>pickup_datetime              </th><th>dropoff_datetime             </th><th>passenger_count  </th><th>payment_type  </th><th>trip_distance     </th><th>pickup_longitude  </th><th>pickup_latitude   </th><th>rate_code  </th><th>store_and_fwd_flag  </th><th>dropoff_longitude  </th><th>dropoff_latitude  </th><th>fare_amount  </th><th>surcharge  </th><th>mta_tax  </th><th>tip_amount        </th><th>tolls_amount  </th><th>total_amount      </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td><i style='opacity: 0.6'>0</i>          </td><td>VTS        </td><td>2014-12-16 02:26:00.000000000</td><td>2014-12-16 02:28:00.000000000</td><td>1                </td><td>CSH           </td><td>1.090000033378601 </td><td>-73.98672485351562</td><td>40.75642013549805 </td><td>1.0        </td><td>nan                 </td><td>-73.9964599609375  </td><td>40.74289321899414 </td><td>5.0          </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>6.0               </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1</i>          </td><td>VTS        </td><td>2014-12-15 18:23:00.000000000</td><td>2014-12-15 18:58:00.000000000</td><td>2                </td><td>              </td><td>6.28000020980835  </td><td>-74.00418853759766</td><td>40.72119140625    </td><td>1.0        </td><td>nan                 </td><td>-73.97000122070312 </td><td>nan               </td><td>nan          </td><td>nan        </td><td>nan      </td><td>nan               </td><td>nan           </td><td>nan               </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>2</i>          </td><td>VTS        </td><td>2015-01-15 19:05:39.000000000</td><td>2015-01-15 19:23:42.000000000</td><td>1                </td><td>1             </td><td>1.590000033378601 </td><td>-73.993896484375  </td><td>40.7501106262207  </td><td>1.0        </td><td>0.0                 </td><td>-73.97478485107422 </td><td>40.75061798095703 </td><td>12.0         </td><td>1.0        </td><td>0.5      </td><td>3.25              </td><td>0.0           </td><td>17.049999237060547</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>3</i>          </td><td>CMT        </td><td>2015-01-10 20:33:38.000000000</td><td>2015-01-10 20:53:28.000000000</td><td>1                </td><td>1             </td><td>3.299999952316284 </td><td>-74.00164794921875</td><td>40.7242431640625  </td><td>1.0        </td><td>0.0                 </td><td>-73.99441528320312 </td><td>40.75910949707031 </td><td>14.5         </td><td>0.5        </td><td>0.5      </td><td>2.0               </td><td>0.0           </td><td>17.799999237060547</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>4</i>          </td><td>CMT        </td><td>2015-01-10 20:33:38.000000000</td><td>2015-01-10 20:43:41.000000000</td><td>1                </td><td>2             </td><td>1.7999999523162842</td><td>-73.96334075927734</td><td>40.80278778076172 </td><td>1.0        </td><td>0.0                 </td><td>-73.95182037353516 </td><td>40.82441329956055 </td><td>9.5          </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>10.800000190734863</td></tr>\n",
       "<tr><td>...                                    </td><td>...        </td><td>...                          </td><td>...                          </td><td>...              </td><td>...           </td><td>...               </td><td>...               </td><td>...               </td><td>...        </td><td>...                 </td><td>...                </td><td>...               </td><td>...          </td><td>...        </td><td>...      </td><td>...               </td><td>...           </td><td>...               </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>146,112,986</i></td><td>VTS        </td><td>2015-12-31 23:59:56.000000000</td><td>2016-01-01 00:08:18.000000000</td><td>5                </td><td>1             </td><td>1.2000000476837158</td><td>-73.99381256103516</td><td>40.72087097167969 </td><td>1.0        </td><td>0.0                 </td><td>-73.98621368408203 </td><td>40.722469329833984</td><td>7.5          </td><td>0.5        </td><td>0.5      </td><td>1.7599999904632568</td><td>0.0           </td><td>10.5600004196167  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>146,112,987</i></td><td>CMT        </td><td>2015-12-31 23:59:58.000000000</td><td>2016-01-01 00:05:19.000000000</td><td>2                </td><td>2             </td><td>2.0               </td><td>-73.96527099609375</td><td>40.76028060913086 </td><td>1.0        </td><td>0.0                 </td><td>-73.93951416015625 </td><td>40.75238800048828 </td><td>7.5          </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>8.800000190734863 </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>146,112,988</i></td><td>CMT        </td><td>2015-12-31 23:59:59.000000000</td><td>2016-01-01 00:12:55.000000000</td><td>2                </td><td>2             </td><td>3.799999952316284 </td><td>-73.98729705810547</td><td>40.739078521728516</td><td>1.0        </td><td>0.0                 </td><td>-73.9886703491211  </td><td>40.69329833984375 </td><td>13.5         </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>14.800000190734863</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>146,112,989</i></td><td>VTS        </td><td>2015-12-31 23:59:59.000000000</td><td>2016-01-01 00:10:26.000000000</td><td>1                </td><td>2             </td><td>1.9600000381469727</td><td>-73.99755859375   </td><td>40.72569274902344 </td><td>1.0        </td><td>0.0                 </td><td>-74.01712036132812 </td><td>40.705322265625   </td><td>8.5          </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>9.800000190734863 </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>146,112,990</i></td><td>VTS        </td><td>2015-12-31 23:59:59.000000000</td><td>2016-01-01 00:21:30.000000000</td><td>1                </td><td>1             </td><td>1.059999942779541 </td><td>-73.9843978881836 </td><td>40.76725769042969 </td><td>1.0        </td><td>0.0                 </td><td>-73.99098205566406 </td><td>40.76057052612305 </td><td>13.5         </td><td>0.5        </td><td>0.5      </td><td>2.9600000381469727</td><td>0.0           </td><td>17.760000228881836</td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "#            vendor_id    pickup_datetime                dropoff_datetime               passenger_count    payment_type    trip_distance       pickup_longitude    pickup_latitude     rate_code    store_and_fwd_flag    dropoff_longitude    dropoff_latitude    fare_amount    surcharge    mta_tax    tip_amount          tolls_amount    total_amount\n",
       "0            VTS          2014-12-16 02:26:00.000000000  2014-12-16 02:28:00.000000000  1                  CSH             1.090000033378601   -73.98672485351562  40.75642013549805   1.0          nan                   -73.9964599609375    40.74289321899414   5.0            0.5          0.5        0.0                 0.0             6.0\n",
       "1            VTS          2014-12-15 18:23:00.000000000  2014-12-15 18:58:00.000000000  2                                  6.28000020980835    -74.00418853759766  40.72119140625      1.0          nan                   -73.97000122070312   nan                 nan            nan          nan        nan                 nan             nan\n",
       "2            VTS          2015-01-15 19:05:39.000000000  2015-01-15 19:23:42.000000000  1                  1               1.590000033378601   -73.993896484375    40.7501106262207    1.0          0.0                   -73.97478485107422   40.75061798095703   12.0           1.0          0.5        3.25                0.0             17.049999237060547\n",
       "3            CMT          2015-01-10 20:33:38.000000000  2015-01-10 20:53:28.000000000  1                  1               3.299999952316284   -74.00164794921875  40.7242431640625    1.0          0.0                   -73.99441528320312   40.75910949707031   14.5           0.5          0.5        2.0                 0.0             17.799999237060547\n",
       "4            CMT          2015-01-10 20:33:38.000000000  2015-01-10 20:43:41.000000000  1                  2               1.7999999523162842  -73.96334075927734  40.80278778076172   1.0          0.0                   -73.95182037353516   40.82441329956055   9.5            0.5          0.5        0.0                 0.0             10.800000190734863\n",
       "...          ...          ...                            ...                            ...                ...             ...                 ...                 ...                 ...          ...                   ...                  ...                 ...            ...          ...        ...                 ...             ...\n",
       "146,112,986  VTS          2015-12-31 23:59:56.000000000  2016-01-01 00:08:18.000000000  5                  1               1.2000000476837158  -73.99381256103516  40.72087097167969   1.0          0.0                   -73.98621368408203   40.722469329833984  7.5            0.5          0.5        1.7599999904632568  0.0             10.5600004196167\n",
       "146,112,987  CMT          2015-12-31 23:59:58.000000000  2016-01-01 00:05:19.000000000  2                  2               2.0                 -73.96527099609375  40.76028060913086   1.0          0.0                   -73.93951416015625   40.75238800048828   7.5            0.5          0.5        0.0                 0.0             8.800000190734863\n",
       "146,112,988  CMT          2015-12-31 23:59:59.000000000  2016-01-01 00:12:55.000000000  2                  2               3.799999952316284   -73.98729705810547  40.739078521728516  1.0          0.0                   -73.9886703491211    40.69329833984375   13.5           0.5          0.5        0.0                 0.0             14.800000190734863\n",
       "146,112,989  VTS          2015-12-31 23:59:59.000000000  2016-01-01 00:10:26.000000000  1                  2               1.9600000381469727  -73.99755859375     40.72569274902344   1.0          0.0                   -74.01712036132812   40.705322265625     8.5            0.5          0.5        0.0                 0.0             9.800000190734863\n",
       "146,112,990  VTS          2015-12-31 23:59:59.000000000  2016-01-01 00:21:30.000000000  1                  1               1.059999942779541   -73.9843978881836   40.76725769042969   1.0          0.0                   -73.99098205566406   40.76057052612305   13.5           0.5          0.5        2.9600000381469727  0.0             17.760000228881836"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T19:02:30.984400Z",
     "start_time": "2019-07-10T19:02:30.564264Z"
    }
   },
   "outputs": [],
   "source": [
    "df.passenger_count.sum(progress=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Remote dataframe\n",
    " * Data at server\n",
    " * State changes at client\n",
    " * Server is stateless\n",
    "    * but does some caching for optmization"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:05:08.004901Z",
     "start_time": "2019-07-10T20:05:07.180006Z"
    }
   },
   "outputs": [],
   "source": [
    "token = open('token-STSci.txt').read().strip()\n",
    "df = vaex.open(f'ws://ec2-18-222-183-211.us-east-2.compute.amazonaws.com:9000/gaia_ps1_nochunk?token_trusted={token}')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:05:15.588164Z",
     "start_time": "2019-07-10T20:05:14.713432Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7faddfb26048>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.plot('ra', 'dec', f='log')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:05:25.195276Z",
     "start_time": "2019-07-10T20:05:25.012697Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Expression = deg2rad(ra)\n",
       "Length: 928,000,000 dtype: float64 (expression)\n",
       "-----------------------------------------------\n",
       "        0  1.99588\n",
       "        1  1.99594\n",
       "        2    1.996\n",
       "        3  1.99602\n",
       "        4  1.99593\n",
       "       ...        \n",
       "927999995  1.95381\n",
       "927999996  1.95404\n",
       "927999997  1.95398\n",
       "927999998   1.9541\n",
       "927999999  1.95396"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.deg2rad(df.ra)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# xarray support\n",
    " * binby instead of groupby"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:08:10.637047Z",
     "start_time": "2019-07-10T20:08:05.904579Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table>\n",
       "<thead>\n",
       "<tr><th>#                                        </th><th>vendor_id  </th><th>pickup_datetime              </th><th>dropoff_datetime             </th><th>passenger_count  </th><th>payment_type  </th><th>trip_distance     </th><th>pickup_longitude  </th><th>pickup_latitude   </th><th>rate_code  </th><th>store_and_fwd_flag  </th><th>dropoff_longitude  </th><th>dropoff_latitude  </th><th>fare_amount       </th><th>surcharge  </th><th>mta_tax  </th><th>tip_amount        </th><th>tolls_amount  </th><th>total_amount      </th></tr>\n",
       "</thead>\n",
       "<tbody>\n",
       "<tr><td><i style='opacity: 0.6'>0</i>            </td><td>VTS        </td><td>2009-01-04 02:52:00.000000000</td><td>2009-01-04 03:02:00.000000000</td><td>1                </td><td>CASH          </td><td>2.630000114440918 </td><td>-73.99195861816406</td><td>40.72156524658203 </td><td>nan        </td><td>nan                 </td><td>-73.99380493164062 </td><td>40.6959228515625  </td><td>8.899999618530273 </td><td>0.5        </td><td>nan      </td><td>0.0               </td><td>0.0           </td><td>9.399999618530273 </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1</i>            </td><td>VTS        </td><td>2009-01-04 03:31:00.000000000</td><td>2009-01-04 03:38:00.000000000</td><td>3                </td><td>Credit        </td><td>4.550000190734863 </td><td>-73.98210144042969</td><td>40.736289978027344</td><td>nan        </td><td>nan                 </td><td>-73.95584869384766 </td><td>40.768028259277344</td><td>12.100000381469727</td><td>0.5        </td><td>nan      </td><td>2.0               </td><td>0.0           </td><td>14.600000381469727</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>2</i>            </td><td>VTS        </td><td>2009-01-03 15:43:00.000000000</td><td>2009-01-03 15:57:00.000000000</td><td>5                </td><td>Credit        </td><td>10.350000381469727</td><td>-74.0025863647461 </td><td>40.73974609375    </td><td>nan        </td><td>nan                 </td><td>-73.86997985839844 </td><td>40.770225524902344</td><td>23.700000762939453</td><td>0.0        </td><td>nan      </td><td>4.739999771118164 </td><td>0.0           </td><td>28.440000534057617</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>3</i>            </td><td>DDS        </td><td>2009-01-01 20:52:58.000000000</td><td>2009-01-01 21:14:00.000000000</td><td>1                </td><td>CREDIT        </td><td>5.0               </td><td>-73.9742660522461 </td><td>40.79095458984375 </td><td>nan        </td><td>nan                 </td><td>-73.9965591430664  </td><td>40.731849670410156</td><td>14.899999618530273</td><td>0.5        </td><td>nan      </td><td>3.049999952316284 </td><td>0.0           </td><td>18.450000762939453</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>4</i>            </td><td>DDS        </td><td>2009-01-24 16:18:23.000000000</td><td>2009-01-24 16:24:56.000000000</td><td>1                </td><td>CASH          </td><td>0.4000000059604645</td><td>-74.00157928466797</td><td>40.719383239746094</td><td>nan        </td><td>nan                 </td><td>-74.00837707519531 </td><td>40.7203483581543  </td><td>3.700000047683716 </td><td>0.0        </td><td>nan      </td><td>0.0               </td><td>0.0           </td><td>3.700000047683716 </td></tr>\n",
       "<tr><td>...                                      </td><td>...        </td><td>...                          </td><td>...                          </td><td>...              </td><td>...           </td><td>...               </td><td>...               </td><td>...               </td><td>...        </td><td>...                 </td><td>...                </td><td>...               </td><td>...               </td><td>...        </td><td>...      </td><td>...               </td><td>...           </td><td>...               </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1,173,057,921</i></td><td>VTS        </td><td>2015-12-31 23:59:56.000000000</td><td>2016-01-01 00:08:18.000000000</td><td>5                </td><td>1             </td><td>1.2000000476837158</td><td>-73.99381256103516</td><td>40.72087097167969 </td><td>1.0        </td><td>0.0                 </td><td>-73.98621368408203 </td><td>40.722469329833984</td><td>7.5               </td><td>0.5        </td><td>0.5      </td><td>1.7599999904632568</td><td>0.0           </td><td>10.5600004196167  </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1,173,057,922</i></td><td>CMT        </td><td>2015-12-31 23:59:58.000000000</td><td>2016-01-01 00:05:19.000000000</td><td>2                </td><td>2             </td><td>2.0               </td><td>-73.96527099609375</td><td>40.76028060913086 </td><td>1.0        </td><td>0.0                 </td><td>-73.93951416015625 </td><td>40.75238800048828 </td><td>7.5               </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>8.800000190734863 </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1,173,057,923</i></td><td>CMT        </td><td>2015-12-31 23:59:59.000000000</td><td>2016-01-01 00:12:55.000000000</td><td>2                </td><td>2             </td><td>3.799999952316284 </td><td>-73.98729705810547</td><td>40.739078521728516</td><td>1.0        </td><td>0.0                 </td><td>-73.9886703491211  </td><td>40.69329833984375 </td><td>13.5              </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>14.800000190734863</td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1,173,057,924</i></td><td>VTS        </td><td>2015-12-31 23:59:59.000000000</td><td>2016-01-01 00:10:26.000000000</td><td>1                </td><td>2             </td><td>1.9600000381469727</td><td>-73.99755859375   </td><td>40.72569274902344 </td><td>1.0        </td><td>0.0                 </td><td>-74.01712036132812 </td><td>40.705322265625   </td><td>8.5               </td><td>0.5        </td><td>0.5      </td><td>0.0               </td><td>0.0           </td><td>9.800000190734863 </td></tr>\n",
       "<tr><td><i style='opacity: 0.6'>1,173,057,925</i></td><td>VTS        </td><td>2015-12-31 23:59:59.000000000</td><td>2016-01-01 00:21:30.000000000</td><td>1                </td><td>1             </td><td>1.059999942779541 </td><td>-73.9843978881836 </td><td>40.76725769042969 </td><td>1.0        </td><td>0.0                 </td><td>-73.99098205566406 </td><td>40.76057052612305 </td><td>13.5              </td><td>0.5        </td><td>0.5      </td><td>2.9600000381469727</td><td>0.0           </td><td>17.760000228881836</td></tr>\n",
       "</tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "#              vendor_id    pickup_datetime                dropoff_datetime               passenger_count    payment_type    trip_distance       pickup_longitude    pickup_latitude     rate_code    store_and_fwd_flag    dropoff_longitude    dropoff_latitude    fare_amount         surcharge    mta_tax    tip_amount          tolls_amount    total_amount\n",
       "0              VTS          2009-01-04 02:52:00.000000000  2009-01-04 03:02:00.000000000  1                  CASH            2.630000114440918   -73.99195861816406  40.72156524658203   nan          nan                   -73.99380493164062   40.6959228515625    8.899999618530273   0.5          nan        0.0                 0.0             9.399999618530273\n",
       "1              VTS          2009-01-04 03:31:00.000000000  2009-01-04 03:38:00.000000000  3                  Credit          4.550000190734863   -73.98210144042969  40.736289978027344  nan          nan                   -73.95584869384766   40.768028259277344  12.100000381469727  0.5          nan        2.0                 0.0             14.600000381469727\n",
       "2              VTS          2009-01-03 15:43:00.000000000  2009-01-03 15:57:00.000000000  5                  Credit          10.350000381469727  -74.0025863647461   40.73974609375      nan          nan                   -73.86997985839844   40.770225524902344  23.700000762939453  0.0          nan        4.739999771118164   0.0             28.440000534057617\n",
       "3              DDS          2009-01-01 20:52:58.000000000  2009-01-01 21:14:00.000000000  1                  CREDIT          5.0                 -73.9742660522461   40.79095458984375   nan          nan                   -73.9965591430664    40.731849670410156  14.899999618530273  0.5          nan        3.049999952316284   0.0             18.450000762939453\n",
       "4              DDS          2009-01-24 16:18:23.000000000  2009-01-24 16:24:56.000000000  1                  CASH            0.4000000059604645  -74.00157928466797  40.719383239746094  nan          nan                   -74.00837707519531   40.7203483581543    3.700000047683716   0.0          nan        0.0                 0.0             3.700000047683716\n",
       "...            ...          ...                            ...                            ...                ...             ...                 ...                 ...                 ...          ...                   ...                  ...                 ...                 ...          ...        ...                 ...             ...\n",
       "1,173,057,921  VTS          2015-12-31 23:59:56.000000000  2016-01-01 00:08:18.000000000  5                  1               1.2000000476837158  -73.99381256103516  40.72087097167969   1.0          0.0                   -73.98621368408203   40.722469329833984  7.5                 0.5          0.5        1.7599999904632568  0.0             10.5600004196167\n",
       "1,173,057,922  CMT          2015-12-31 23:59:58.000000000  2016-01-01 00:05:19.000000000  2                  2               2.0                 -73.96527099609375  40.76028060913086   1.0          0.0                   -73.93951416015625   40.75238800048828   7.5                 0.5          0.5        0.0                 0.0             8.800000190734863\n",
       "1,173,057,923  CMT          2015-12-31 23:59:59.000000000  2016-01-01 00:12:55.000000000  2                  2               3.799999952316284   -73.98729705810547  40.739078521728516  1.0          0.0                   -73.9886703491211    40.69329833984375   13.5                0.5          0.5        0.0                 0.0             14.800000190734863\n",
       "1,173,057,924  VTS          2015-12-31 23:59:59.000000000  2016-01-01 00:10:26.000000000  1                  2               1.9600000381469727  -73.99755859375     40.72569274902344   1.0          0.0                   -74.01712036132812   40.705322265625     8.5                 0.5          0.5        0.0                 0.0             9.800000190734863\n",
       "1,173,057,925  VTS          2015-12-31 23:59:59.000000000  2016-01-01 00:21:30.000000000  1                  1               1.059999942779541   -73.9843978881836   40.76725769042969   1.0          0.0                   -73.99098205566406   40.76057052612305   13.5                0.5          0.5        2.9600000381469727  0.0             17.760000228881836"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import vaex\n",
    "df = vaex.open('/data/yellow_taxi_2009_2015_f32.hdf5')\n",
    "df = df.dropna(column_names=['dropoff_latitude', 'dropoff_longitude', 'pickup_latitude'])\n",
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:08:28.748603Z",
     "start_time": "2019-07-10T20:08:18.230362Z"
    }
   },
   "outputs": [],
   "source": [
    "# Define a mapping dictionary\n",
    "map_payment_type = {'csh': 2, 'crd': 1, 'cash': 2, '1': 1, 'cas': 2, '2': 2, 'credit': 1, 'cre': 1, 'unk': 5, \n",
    "                    'noc': 3, 'no charge': 3, '3':3, 'dis': 4, 'no ': 3, '4': 4, 'dispute': 4, 'na ': 5, '5':5}\n",
    "\n",
    "df['payment_type'] = df.payment_type.str.lower().map(map_payment_type, \n",
    "                                                                  default_value=7, \n",
    "                                                                  allow_missing=True) -1\n",
    "df.categorize(df.payment_type, labels=['Credit card', 'Cash', 'No charge', 'Dispute', 'Unknown', 'Voided trip', 'NA'],\n",
    "             check=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:09:02.402395Z",
     "start_time": "2019-07-10T20:08:28.749933Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.DataArray (pickup_datetime: 85, payment_type: 6)>\n",
       "array([[ 3024673, 11019572,    40118,     8050,        0,        0],\n",
       "       [ 3132474, 10196900,    42024,     8724,        0,        0],\n",
       "       [ 3476019, 10856177,    46318,     8857,        0,        0],\n",
       "       ...,\n",
       "       [ 7229578,  4028129,    41353,    13612,        4,        0],\n",
       "       [ 7174215,  4226926,    44304,    15125,        3,        0],\n",
       "       [       0,        0,        0,        0,        0,        0]])\n",
       "Coordinates:\n",
       "  * pickup_datetime  (pickup_datetime) datetime64[ns] 2009-01-01 ... 2016-01-01\n",
       "  * payment_type     (payment_type) int64 0 1 2 3 4 6"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "da = df.binby([\n",
    "    vaex.groupby.BinnerTime.per_month(df.pickup_datetime),\n",
    "    df.payment_type\n",
    "], agg='count')\n",
    "da"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2019-07-10T20:09:02.770164Z",
     "start_time": "2019-07-10T20:09:02.404578Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/maartenbreddels/miniconda3/envs/vaex-dev/lib/python3.7/site-packages/xarray/core/computation.py:565: RuntimeWarning: divide by zero encountered in log10\n",
      "  result_data = func(*input_data)\n",
      "/home/maartenbreddels/miniconda3/envs/vaex-dev/lib/python3.7/site-packages/pandas/plotting/_converter.py:129: FutureWarning: Using an implicitly registered datetime converter for a matplotlib plotting method. The converter was registered by pandas on import. Future versions of pandas will require you to explicitly register matplotlib converters.\n",
      "\n",
      "To register the converters:\n",
      "\t>>> from pandas.plotting import register_matplotlib_converters\n",
      "\t>>> register_matplotlib_converters()\n",
      "  warnings.warn(msg, FutureWarning)\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 2000x1200 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pylab as plt\n",
    "plt.figure(figsize=(10,6), dpi=200)\n",
    "np.log10(da).plot(hue='payment_type');"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
